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LAMEA Data Science Platform Market By Component, By Deployment Type, By Enterprise Size, By Application, By End User, By Country, Industry Analysis and Forecast, 2020 - 2026

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    Report

  • 139 Pages
  • November 2020
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5214486
The Latin America, Middle East and Africa Data Science Platform Market is expected to witness market growth of 30.9% CAGR during the forecast period (2020-2026).

Data science can be considered as next-generation computing, wherein specific instruments and algorithms are applied for the top to bottom analysis of big data. A few companies are installing data science platforms to continue in the serious competitive situation through the ideal utilization of analytics and to acquire important insights from structured and unstructured data available within the ecosystem.

The data science platform market is significantly boosted by the rapid growth in big data innovations, expanding the need for technologies to upgrade operational effectiveness, and increasing adoption of big data analytics to gain insights into the purchasing behavior and buying trends of consumers. Adoption of the data science platform in rising markets, including Brazil, the Gulf Cooperation Council (GCC) nations, and African nations is at a nascent stage, unlike that in developed markets. However, the potential effect of upgraded analytics solutions and services on business activities has expanded in the area. Moreover, the relative significance of the collection of data in the majority of the local economies and the need to extract noteworthy insights from the data are foreseen to propel the demand for services and solutions related to data science platform.

Various data science groups have grown out of their current instruments and are encountering an absence of collaboration and adaptability as they become overwhelmed by ordinary operational tasks. To solve this issue, organizations are presently choosing data science platforms that are modular or open, collaborative, adaptable, multi-client, and support the whole pipeline of creation. Factors, for example, business optimization, model deployment, model sharing, model management, versatility, reproducibility, and agility given by these platforms have significantly added to rapid adoption.

Based on Component, the market is segmented into Platform (Without Services) and Services. Based on Deployment Type, the market is segmented into On-premises and Cloud. Based on Enterprise Size, the market is segmented into Large Enterprise and Small & Medium Enterprise. Based on Application, the market is segmented into Marketing & Sales, Logistics, Customer Support, Finance & Accounting and Others. Based on End User, the market is segmented into BFSI, Energy & Utilities, Healthcare, Retail & eCommerce, Government & Defense, IT & Telecommunication, Manufacturing and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Google, Inc., SAP SE, Altair Engineering, Inc., Alteryx, Inc., Cloudera, Inc., The MathWorks, Inc., SAS Institute, Inc., and RapidMiner, Inc.

Scope of the Study

Market Segmentation:

By Component
  • Platform (Without Services)
  • Services

By Deployment Type
  • On-premises
  • Cloud

By Enterprise Size
  • Large Enterprise
  • Small & Medium Enterprise

By Application
  • Marketing & Sales
  • Logistics
  • Customer Support
  • Finance & Accounting
  • Others

By End User
  • BFSI
  • Energy & Utilities
  • Healthcare
  • Retail & eCommerce
  • Government & Defense
  • IT & Telecommunication
  • Manufacturing
  • Others

By Country
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Companies Profiled
  • IBM Corporation
  • Microsoft Corporation
  • Google, Inc.
  • SAP SE
  • Altair Engineering, Inc.
  • Alteryx, Inc.
  • Cloudera, Inc.
  • The MathWorks, Inc.
  • SAS Institute, Inc.
  • RapidMiner, Inc.

Unique Offerings from the Publisher
  • Exhaustive coverage
  • Highest number of market tables and figures
  • Subscription based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Latin America, Middle East and Africa (LAMEA) Data Science Platform Market, by Component
1.4.2 Latin America, Middle East and Africa (LAMEA) Data Science Platform Market, by Deployment Type
1.4.3 Latin America, Middle East and Africa (LAMEA) Data Science Platform Market, by Enterprise Size
1.4.4 Latin America, Middle East and Africa (LAMEA) Data Science Platform Market, by Application
1.4.5 Latin America, Middle East and Africa (LAMEA) Data Science Platform Market, by End User
1.4.6 Latin America, Middle East and Africa (LAMEA) Data Science Platform Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.2 Executive Summary
2.1.3 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Mergers & Acquisitions
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2016-2020)
3.3.2 Key Strategic Move: (Partnerships, Collaborations, and Agreements : 2017, Apr - 2020, Oct) Leading Players
Chapter 4. LAMEA Data Science Platform Market by Enterprise Size
4.1 LAMEA Data Science Platform Large Enterprise Market by Country
4.2 LAMEA Data Science Platform Small & Medium Enterprise Market by Country
Chapter 5. LAMEA Data Science Platform Market by Industry Vertical
5.1 LAMEA BFSI Data Science Platform Market by Country
5.2 LAMEA Energy & Utilities Data Science Platform Market by Country
5.3 LAMEA Healthcare Data Science Platform Market by Country
5.4 LAMEA Retail & eCommerce Data Science Platform Market by Country
5.5 LAMEA Government & Defense Data Science Platform Market by Country
5.6 LAMEA IT & Telecommunication Data Science Platform Market by Country
5.7 LAMEA Manufacturing Data Science Platform Market by Country
5.8 LAMEA Other Industry Vertical Data Science Platform Market by Country
Chapter 6. LAMEA Data Science Platform Market by Component
6.1 LAMEA Data Science Platform (Without Services) Market by Country
6.2 LAMEA Data Science Platform Services Market by Country
Chapter 7. LAMEA Data Science Platform Market by Deployment Type
7.1 LAMEA On-premises Data Science Platform Market by Country
7.2 LAMEA Cloud Data Science Platform Market by Country
Chapter 8. LAMEA Data Science Platform Market by Application
8.1 LAMEA Marketing & Sales Data Science Platform Market by Country
8.2 LAMEA Logistics Data Science Platform Market by Country
8.3 LAMEA Customer Support Data Science Platform Market by Country
8.4 LAMEA Finance & Accounting Data Science Platform Market by Country
8.5 LAMEA Others Data Science Platform Market by Country
Chapter 9. LAMEA Data Science Platform Market by Country
9.1 Brazil Data Science Platform Market
9.1.1 Brazil Data Science Platform Market by Enterprise Size
9.1.2 Brazil Data Science Platform Market by Industry Vertical
9.1.3 Brazil Data Science Platform Market by Component
9.1.4 Brazil Data Science Platform Market by Deployment Type
9.1.5 Brazil Data Science Platform Market by Application
9.2 Argentina Data Science Platform Market
9.2.1 Argentina Data Science Platform Market by Enterprise Size
9.2.2 Argentina Data Science Platform Market by Industry Vertical
9.2.3 Argentina Data Science Platform Market by Component
9.2.4 Argentina Data Science Platform Market by Deployment Type
9.2.5 Argentina Data Science Platform Market by Application
9.3 UAE Data Science Platform Market
9.3.1 UAE Data Science Platform Market by Enterprise Size
9.3.2 UAE Data Science Platform Market by Industry Vertical
9.3.3 UAE Data Science Platform Market by Component
9.3.4 UAE Data Science Platform Market by Deployment Type
9.3.5 UAE Data Science Platform Market by Application
9.4 Saudi Arabia Data Science Platform Market
9.4.1 Saudi Arabia Data Science Platform Market by Enterprise Size
9.4.2 Saudi Arabia Data Science Platform Market by Industry Vertical
9.4.3 Saudi Arabia Data Science Platform Market by Component
9.4.4 Saudi Arabia Data Science Platform Market by Deployment Type
9.4.5 Saudi Arabia Data Science Platform Market by Application
9.5 South Africa Data Science Platform Market
9.5.1 South Africa Data Science Platform Market by Enterprise Size
9.5.2 South Africa Data Science Platform Market by Industry Vertical
9.5.3 South Africa Data Science Platform Market by Component
9.5.4 South Africa Data Science Platform Market by Deployment Type
9.5.5 South Africa Data Science Platform Market by Application
9.6 Nigeria Data Science Platform Market
9.6.1 Nigeria Data Science Platform Market by Enterprise Size
9.6.2 Nigeria Data Science Platform Market by Industry Vertical
9.6.3 Nigeria Data Science Platform Market by Component
9.6.4 Nigeria Data Science Platform Market by Deployment Type
9.6.5 Nigeria Data Science Platform Market by Application
9.7 Rest of LAMEA Data Science Platform Market
9.7.1 Rest of LAMEA Data Science Platform Market by Enterprise Size
9.7.2 Rest of LAMEA Data Science Platform Market by Industry Vertical
9.7.3 Rest of LAMEA Data Science Platform Market by Component
9.7.4 Rest of LAMEA Data Science Platform Market by Deployment Type
9.7.5 Rest of LAMEA Data Science Platform Market by Application
Chapter 10. Company Profiles
10.1 IBM Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Regional & Segmental Analysis
10.1.4 Research & Development Expenses
10.1.5 Recent strategies and developments:
10.1.5.1 Partnerships, Collaborations, and Agreements:
10.1.5.2 Acquisition and Mergers:
10.1.6 SWOT Analysis
10.2 Microsoft Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expenses
10.2.1 Recent strategies and developments:
10.2.1.1 Partnerships, Collaborations, and Agreements:
10.2.1.2 Acquisition and Mergers:
10.2.1.3 Product Launches and Product Expansions:
10.2.2 SWOT Analysis
10.3 Google, Inc.
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental and Regional Analysis
10.3.4 Research & Development Expense
10.3.5 Recent strategies and developments:
10.3.5.1 Partnerships, Collaborations, and Agreements:
10.3.5.2 Acquisition and Mergers:
10.3.5.3 Product Launches and Product Expansions:
10.3.6 SWOT Analysis
10.4 SAP SE
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Segmental and Regional Analysis
10.4.4 Research & Development Expense
10.4.5 Recent strategies and developments:
10.4.5.1 Product Launches and Product Expansions:
10.4.5.2 Acquisition and Mergers:
10.4.6 SWOT Analysis
10.5 Altair Engineering, Inc.
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research and Development Expense
10.5.5 Recent strategies and developments:
10.5.5.1 Product Launches and Product Expansions:
10.5.5.2 Acquisition and Mergers:
10.5.6 SWOT Analysis
10.6 Alteryx, Inc.
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Regional Analysis
10.6.4 Research & Development Expenses
10.6.5 Recent strategies and developments:
10.6.5.1 Partnerships, Collaborations, and Agreements:
10.6.5.2 Acquisition and Mergers:
10.7 Cloudera, Inc.
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental Analysis
10.7.4 Research & Development Expense
10.7.5 Recent strategies and developments:
10.7.5.1 Product Launches and Product Expansions:
10.7.5.2 Acquisition and Mergers:
10.8 The MathWorks, Inc.
10.8.1 Company Overview
10.8.2 Recent strategies and developments:
10.8.2.1 Partnerships, Collaborations, and Agreements:
10.8.2.2 Product Launches and Product Expansions:
10.9 SAS Institute, Inc.
10.9.1 Company Overview
10.9.2 Recent strategies and developments:
10.9.2.1 Partnerships, Collaborations, and Agreements:
10.10. RapidMiner, Inc.
10.10.1 Company Overview
10.10.2 Recent strategies and developments:
10.10.2.1 Partnerships, Collaborations, and Agreements:
10.10.2.2 Product Launches and Product Expansions:

Companies Mentioned

  • IBM Corporation
  • Microsoft Corporation
  • Google, Inc.
  • SAP SE
  • Altair Engineering, Inc.
  • Alteryx, Inc.
  • Cloudera, Inc.
  • The MathWorks, Inc.
  • SAS Institute, Inc.
  • RapidMiner, Inc.

Methodology

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